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NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
Our internships offer an excellent opportunity to expand your career and get hands onexperiencewith one of our industry leadingAutonomous Vehiclesteams.We’reseekingstrategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA
What you will be doing:
Design and implement cutting-edge techniques in the field of vehicle autonomy.
Collaborate with other team members, teams, and/or external researchers.
Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.
What we need to see:
Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year)must be clearly indicated on a resume or CV to be considered.
Depending on the internship, prior experience or knowledge requirements couldinclude the following programming skills and technologies:
Python, C++, CUDA, Deep Learning Frameworks (PyTorch,TensorFlow, etc.)
Strong background in research with publications at top conferences.
Excellent communication and collaboration skills.
Experience with large-scale model training is a plus.
Potentialinternships require research experience in at least one of the following areas:
Next-Generation AV Architectures
Chain-of-Thought Reasoning
Mixture-of-Experts
Diffusion-LLMs
Diffusion-based Trajectory Decoding
Novel Policy Training Strategies
Closed-loop Training
Off-policy RL
Online RL
EnforcingConsistency
Foundation and Multimodal Models
Vision-language models
Multimodal reasoning
Spatial Multimodal Models
Modality Alignment
Model Scaling
Synthetic data
InferenceEfficiency
Inference Optimizations (e.g., parallel decoding, speculative decoding)
Token Representations
Model Distillation
Simulation and Behavior Modeling
Digital Twins
Scenario Generation
World Models
Behavior/Traffic Modeling
End-to-End AV Systems
Mapless driving
World Representations
Beyond imitation learning
Safety-aware end-to-end models
Perceptionand Representation Learning
Multi-modal sensor fusion
2D/3D detection, segmentation, depth estimation, scene understanding,neural representations
SafeandTrustworthyAutonomous Systems
Principled robustness
Model explainability
Control Barrier Functions (CBFs)
Verification and Validation of Safety-Critical AI Systems
TrustworthyAI/ML for autonomy and robotics
Data-Strategies for AI
Benchmarking AV
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Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Internbenefits
Applications are accepted on an ongoing basis.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
